Lenin Ravindranath Sivalingam, Sharad Agarwal, Jitu Padhye, and Chris Reiderer
21 November 2013
Generations of computer programmers are taught to prefetch network objects in computer science classes. In practice, prefetching can be harmful to the user's wallet when she is on a limited or pay-per-byte cellular data plan. Many popular, professionally-written smartphone apps today prefetch large amounts of network data that the typical user may never use. We present Procrastinator, which automatically decides when to fetch each network object that an app requests. This decision is made based on whether the user is on Wi-Fi or cellular, how many bytes are remaining on the user's data plan, and whether the object is needed at the present time. Procrastinator does not require developer effort, nor app source code, nor OS changes – it modifies the app binary to trap specific system calls and inject custom code. Our system can achieve as little as no savings to 4X savings in bytes transferred, depending on the user and the app. In theory, we can achieve 17X savings, but we need to overcome additional technical challenges.
Lenin Ravindranath, Sharad Agarwal, Jitu Padhye, and Chris Riederer. Procrastinator: pacing mobile apps' usage of the network, ACM International Conference on Mobile Systems, Applications, and Services, 16 June 2014.